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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 5319
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    INDEX
    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "an"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸ı
    -0.87
    hovah
    -0.76
    ichick
    -0.71
     WATCHED
    -0.71
    uably
    -0.71
    atility
    -0.70
    Ö¼
    -0.70
    displayText
    -0.66
    eatures
    -0.65
    ometimes
    -0.65
    POSITIVE LOGITS
    igans
    1.45
    onymous
    1.13
    ghai
    1.12
    alyst
    1.10
    xiety
    1.07
    thood
    1.07
    thus
    1.06
    ning
    1.04
    ufact
    1.00
    ese
    0.99
    Activations Density 0.054%

    No Known Activations